Energy-Delay Tradeoff in Ultra-Dense Networks Considering BS Sleeping and Cell Association

被引:24
|
作者
Li Pei [1 ]
Jiang Huilin [1 ,2 ]
Pan Zhiwen [1 ]
You Xiaohu [1 ]
机构
[1] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
[2] Nanjing Xiaozhuang Univ, Inst Elect Engn, Nanjing 211171, Jiangsu, Peoples R China
关键词
Ultra-dense networks; energy-delay tradeoff; association radius; sleeping strategy; EFFICIENT USER ASSOCIATION; HETEROGENEOUS NETWORKS; WIRELESS SYSTEMS; RESOURCE; COOPERATION;
D O I
10.1109/TVT.2017.2740439
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Ultra-dense network (UDN) is a promising technology for future wireless networks to meet the explosively increasing wireless traffic demands. Sleeping strategy that switches base station (BS) on/off to reduce the energy consumption of UDN is widely investigated. However, the energy saving of sleeping strategy may come at the cost of increased delay. Hence, energy-delay tradeoff (EDT) which means how much energy can be saved by trading off tolerable delay is an important topic. In this paper, we develop a theoretical framework for EDT considering BS sleeping and cell association in UDNs. Firstly, an M/G/1/N processor sharing vacation queueing is introduced to model small cell considering sleeping strategy and cell association. Mean delay and energy consumption are quantitatively studied based on the queueing model. The general expressions for mean delay and energy consumption are derived. It shows that sacrificing delay will not always bring about energy saving. Then, EDT problem is formulated as a cost minimization problem, and the optimal sleeping time and association radius are investigated to achieve the optimal tradeoff between energy consumption and delay. Since there is no closed-form expression for the optimal sleeping time for arbitrary number of users associating with one small cell, the optimal sleeping time for one and infinite number of users are derived. Simulation results demonstrate that the optimal sleeping time for infinite number of users is a reasonable approximation for arbitrary number when it is more than one.
引用
收藏
页码:734 / 751
页数:18
相关论文
共 50 条
  • [21] Energy-efficient cell-association bias adjustment algorithm for ultra-dense networks
    Wenxiang Zhu
    Pingping Xu
    ThiOanh Bui
    Guilu Wu
    Yan Yang
    Science China Information Sciences, 2018, 61
  • [22] Delay-constrained sleeping mechanism for energy saving in cache-aided ultra-dense network
    Pei LI
    Shulei GONG
    Shen GAO
    Yaoyue HU
    Zhiwen PAN
    Xiaohu YOU
    Science China(Information Sciences), 2019, 62 (08) : 131 - 144
  • [23] Delay-constrained sleeping mechanism for energy saving in cache-aided ultra-dense network
    Pei Li
    Shulei Gong
    Shen Gao
    Yaoyue Hu
    Zhiwen Pan
    Xiaohu You
    Science China Information Sciences, 2019, 62
  • [24] Delay-constrained sleeping mechanism for energy saving in cache-aided ultra-dense network
    Li, Pei
    Gong, Shulei
    Gao, Shen
    Hu, Yaoyue
    Pan, Zhiwen
    You, Xiaohu
    SCIENCE CHINA-INFORMATION SCIENCES, 2019, 62 (08)
  • [25] COOPERATION FOR SPECTRAL AND ENERGY EFFICIENCY IN ULTRA-DENSE SMALL CELL NETWORKS
    Yang, Chungang
    Li, Jiandong
    Guizani, Mohsen
    IEEE WIRELESS COMMUNICATIONS, 2016, 23 (01) : 64 - 71
  • [26] Performance Analysis of Multiple Association in Ultra-Dense Networks
    Kamel, Mahmoud
    Hamouda, Walaa
    Youssef, Amr
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2017, 65 (09) : 3818 - 3831
  • [27] Optimum Energy Efficiency and Area Spectral Efficiency Tradeoff in User-Centric Ultra-Dense Networks
    Hu, Dali
    Wu, Jingxian
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [28] Addressing the Energy-Delay Tradeoff in Wireless Networks with Load-Proportional Energy Usage
    Chen, Jie
    Sikdar, Biplab
    2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2014, : 3547 - 3552
  • [29] Energy-Delay Tradeoff in Adaptive Cooperative Caching for Energy-Harvesting Ultradense Networks
    Song, Jing
    Song, Qingyang
    Wang, Yongjian
    Lin, Peng
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 9 (01) : 218 - 229
  • [30] Wireless Backhauling for Energy Harvesting Ultra-Dense Networks
    Rostami, Soheil
    Heiska, Kari
    Puchko, Oleksandr
    Koudouridis, George P.
    Leppanen, Kari
    Valkama, Mikko
    2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2018, : 1807 - 1812